A Study On Estate Investment Based On Tabu Genetic Algorithm

Real estate investment benefit evaluation is not only for real estate investors invest management, risk control, real estate investment behavior of investors to provide comprehensive and scientific and reasonable evaluation index system, is also China's real estate investors fund management important tools and methods. Because China's real estate startting evening, market is not mature, real estate investment performance evaluation theory research of weak, real estate investment performance evaluation method still exist, disorderly, etc, and even some real estate investors to invest in real estate appraisal method of securities market, the evaluation result often misleading investors to invest, failure or. The investment real estate through a case analysis of the classical theory of investment and that the real estate investment theory and method is still exist many problems, this paper adopts comparative research and empirical research on real estate investment theory and method of performance evaluation system, mainly as follows:Based on the common 6 measures for real estate investment evaluation system and a comprehensive, objective of comparative analysis. The paper thinks the six real estate investment evaluation method although each has advantage but not fully, "method", "excellent" and capital market, "the security market line" method, and application condition of hypothesis too too ideal environment is not suitable for China's real estate investment is not mature, "utility theory" is difficult to determine the risk preference in practical application to operate, "when the ant colony algorithm" exists optimizing the efficiency is low, the scope of defects such as small and need further exploration.From this portfolio theory essence, namely from single investment returns and risks of the project and the correlation between the project application, an adaptive, since the optimization of the intelligent optimization algorithm is obtained under the current conditions, a combination of optimization of genetic algorithm is applied taboos by iterative optimization that an optimal investment proportion, and through improving the target function optimization goal for the benefits and risks, high yield, low risk evaluation method, a current control income decrease the risk increased risk of earnings or control target, more flexible evaluation is taboo genetic algorithm can be adjusted by changing environment, mutation probability iteration algorithm, such parameters of the algorithm has good flexibility, etc. Based on the genetic algorithm based on taboos, real estate investment combination model, based on the construction of regional difference of real estate investment combination with our empirical study -- four typical regional urban: Beijing, chongqing, changsha and fuzhou, according to the price and the four cities near ten years, the lease price index Eviews software measure four cities and their returns and risks, use software Matlab genetic algorithm and a taboo most portfolio, empirical study results showed that genetic algorithm can effectively solve the taboo in real estate investment research target, single parameter optimization calculation cumbersome and multifarious, data, and the disadvantages of inaccuracy in real estate investment research exists high correspondence.